• Technical Architect for complex and large-scale solutions. • Define and drive the technical strategy for the organization. • Responsible for assisting in the establishment of an Argano Technical Architecture practice, and the adoption of an architecture and standards methodology. • Lead and mentor a team of technical architects, providing guidance on complex projects. • Collaborate with senior leadership to align technical initiatives with business goals. • Evaluate and adopt new technologies to enhance organizational capabilities. • Represent the technical architecture function in client meetings and discussions. • Coordinate and provide leadership in development of project plans, analysis, design, and development of complex mission-critical project implementation. • Lead and participate in implementations, enhancements, and extending applications. • Solution best practices to operationally monitor technical interfaces and extensions. • Collaborate with other departments to ensure alignment of technical strategies. • Ensure design/solution is strictly maintained and enhancements are documented clearly, approved, and communicated to all client users including C-level executives through extensive version control management. • Lead client teams in discussions to adopt best practices in implementing and maintaining technical solutions. • Work with business users to test the entire process after completing development and resolve all issues reported by users. • Leverage Databricks partner ecosystem tools (e.g., Fivetran, dbt, Coalesce, Alation) to support data integration, transformation, and governance initiatives.

• Design and implement scalable data warehouse and lakehouse architectures on the Cloudera platform • Define enterprise data models, governance frameworks, data stewardship processes, security standards, and data quality practices • Architect and optimize analytics solutions across SQL engines including Impala, Hive, and Iceberg • Design AI-powered analytics solutions leveraging LLMs, Retrieval-Augmented Generation (RAG), vector databases (such as PostgreSQL, Qdrant, Milvus), and NLQ capabilities • Lead the integration of AI/ML capabilities into enterprise data platforms and data pipelines while establishing governance controls for AI models, data usage, and lifecycle management • Leverage vibe coding / AI-assisted development tools to accelerate development and improve productivity • Build and optimize batch and near real-time data pipelines • Collaborate with business stakeholders to translate business requirements into scalable data products and analytics solutions • Establish best practices for performance optimization, data architecture, and AI-assisted development • Mentor teams on modern data architecture and AI-enabled development methodologies • Ensure data security, governance, compliance, and responsible AI practices within enterprise data platforms and AI-enabled solutions • Collaborate with business stakeholders across FP&A, Sales, and Revenue Operations to translate business requirements into scalable data solutions that support financial forecasting, revenue optimization, budgeting, pipeline analysis, and sales forecasting

Role Description The Senior Data Insights Strategist is responsible for utilizing complex data to inform actionable insights that drive informed business decisions and strategy. This includes tracking, visualizing, and analyzing data to provide actionable insights and recommendations. This person will advocate for business data needs to support advancing the mission of NMDP. This role is involved in spearheading in-depth discussions with business stakeholders to gain a deep understanding of departmental goals and the challenges to achieving them. Based on these findings and partnering closely with the other Enterprise Analytics & Insights teams in data science, data enablement, digital analytics, and market research, this person will identify solutions to provide holistic insights to leaders and manage data strategy to completion. Accountabilities - Lead discussions with department leaders on emerging data needs and advocate for new data capabilities and/or technology solutions as needed. - Lead discussions with business leaders to develop data strategy for each department. - Manage intake, prioritization, and assignment of new data requests. - Synthesize data to provide insights and recommendations to leaders. - Proactively monitor department metrics, identify trends, and discuss intervention strategies with leaders. - Serve as the liaison between the business and Enterprise Analytics & Insights. - Support the business in developing data visualization tools, advising on business requirements, and providing quality checks and technical expertise. - Collaborate with Sr Data Insights Strategist teammates to align strategies across various business units to provide holistic insights and process improvements. - Generate a data-driven culture within the business by coaching teams on data competency. - Develop deep business acumen of NMDP and mentor other team members. - Develop and maintain strong working relationships with business leaders, IT developers, and other departmental data partners. - Develop deep technical knowledge of data nuances and mentor other team members. Qualifications - Strong computer skills, including experience with Microsoft Office software. - Strong experience writing queries (SQL) and experience with large data sets and complex integrated systems – strong knowledge of databases and spreadsheets. - Proficient in data visualization and reporting tools. - Familiarity with data governance and quality management practices. - Experience in strategic planning and performance measurement. - Strong experience across a range of analytics projects and teams. Requirements - Exemplify NMDP standards. - Develop strong relationships and build trust and confidence with partners. - Influence with strong problem-solving skills and a solutions-oriented mindset. - Promote a culture of constructive critique, active participation in meetings, and a proactive approach to problem solving within the organization. - Translate complex data into actionable business insights. - Be a self-starter and work in a fast-paced environment, work through ambiguity, and adapt as the business evolves over time. - Lead by example and model a high level of professionalism and service orientation. - Rapidly learn new technologies and processes, and successfully apply them to projects and operations. - Solidify and drive process improvement. Education and/or Experience - Bachelor's degree with professional experience in health care, business analytics, project management, or a related field. - Upon evaluation, 4 years, related experience and/or education may be substituted for the degree requirement. - 5+ years of experience in data consulting, data strategy implementation, synthesizing data projects, and providing stakeholder recommendations related to business operations. - Prior experience with data visualization processes and tools, project management methodology, and data storytelling is highly preferred. Preferred Qualifications - Knowledge of and experience with data visualization tools, such as Looker, Tableau, Power BI, and Salesforce. - Previous experience leading projects or teams. - Previous experience at NMDP or in a health care provider setting. Benefits - Medical, dental, vision, life and disability, accident/critical illness/hospital, well-being, legal, identity theft, and pet benefits. - Retirement, paid time off/holidays, leave, and incentive plans are also offered to eligible employees.

Role Description Estamos buscando un(a) Azure Data Engineer con experiencia en Databricks y Azure Data Factory para integrarse a un proyecto de corta duración enfocado en la automatización y optimización de procesos de integración de datos. - Diseñar, desarrollar y mantener procesos ETL utilizando Azure Data Factory y Databricks. - Implementar pipelines de integración de datos para la ingesta y procesamiento de archivos CSV, TXT, Excel y otras fuentes de información. - Automatizar procesos de carga, transformación y validación de datos. - Configurar y administrar Jobs y Workflows en Databricks para la ejecución programada de procesos. - Desarrollar transformaciones de datos utilizando SQL y tecnologías del ecosistema Databricks. - Monitorear, diagnosticar y resolver incidencias relacionadas con pipelines y procesos ETL. - Garantizar la calidad, consistencia e integridad de los datos procesados. - Colaborar con equipos técnicos y stakeholders para entender requerimientos de integración y automatización. - Participar en actividades de optimización y mejora continua de procesos de datos. Qualifications - 5+ años de experiencia en roles de Data Engineering, ETL Development o Data Integration. - Experiencia comprobable trabajando con Azure Data Factory. - Experiencia práctica desarrollando soluciones con Databricks. - Experiencia implementando procesos ETL de extremo a extremo. - Experiencia procesando e integrando archivos estructurados y fuentes de datos diversas. Requirements - Indispensables: - Azure Data Factory (ADF). - Azure Databricks. - SQL avanzado. - Desarrollo y automatización de procesos ETL. - Diseño y mantenimiento de pipelines de datos. - Integración y procesamiento de archivos CSV, TXT y Excel. - Troubleshooting y monitoreo de procesos de datos. - Python. - PySpark. - Deseables: - Azure Data Lake Storage (ADLS). - Azure Blob Storage. - Git. - Optimización de procesos de transformación de datos. Benefits - 🚀 Integración a marcas globales y startups disruptivas. - 🏡 Trabajo remoto/Home office. - ⏳ Horario ajustado a la célula de trabajo/proyecto asignado. - 📅 Trabajo de lunes a viernes. - 🌎 Equipos de trabajo multiculturales. - 🏆 Oportunidades dentro de nuestras diferentes líneas de negocio. - 🏅 Orgullosamente certificados como Great Place to Work.